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Automatic testing of measurement invariance for single-group longitudinal models is now available using the MODEL option of the ANALYSIS command.
Mplus is a statistical modeling program that provides researchers with a flexible tool to analyze their data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that has an easy-to-use interface and graphical displays of data and analysis results. Mplus allows the analysis of both cross-sectional and longitudinal data, single-level and multilevel data, data that come from different populations with either observed or unobserved heterogeneity, and data that contain missing values. Analyses can be carried out for observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus has extensive capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according to any of the models included in the program.
Alignment for ESEM and SEM (Asparouhov & Muthen, 2022a), including models with cross-loadings; ML and WLSMV estimators with Delta and Theta parameterizations; and continuous, binary, and ordinal variables.
Bayes estimation for residual SEM (RSEM; Asparouhov & Muthen 2022b) with count, nominal, and logit-binary distal outcomes.
New version of Mplus Web Note 21 with a new section 8 discussing 3-step and BCH methods for RI-LTA: Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary secondary model.
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